901 to 925 of 1,526 Machine Learning Jobs

market strategies and sales performance Data Science & Modelling Design, develop, and iterate on predictive models that drive measurable business impact Apply statistical and machine learning techniques to large, complex datasets Ensure models are scalable, interpretable, and aligned with business needs Data Collaboration & Enablement Work closely with Data Engineering ...

suggestions are managed effectively, acting as the final escalation point before the CEO Explore new data sources, data gathering methodologies and opportunities to utilise Machine Learning and Artificial Intelligence (AI) Travel as required Define and maintain company governance policies Collaborate with cross-functional teams to integrate solutions into ...

environment. Nice to Have Background in travel, transport, fast-moving digital marketplaces, or consumer-facing digital products. Experience with causal inference techniques. Exposure to Machine Learning model development or familiarity with AI development tools (e.g., Claude, Cursor, Windsurf). ...

Responsibilities Design and develop system architectures for advanced engineering solutions, particularly within autonomous systems Collaborate with multi-disciplinary teams including software, embedded, safety and machine learning engineers Conduct system-level analysis, trade-off studies and risk assessments Define and manage system requirements, interfaces and specifications Oversee implementation, integration ...

looking for robust OOP programming skills, software design patterns/best practices and practical experience applying TDD. Experience with Cloud services (AWS or Azure), Machine Learning, CI/CD and IAC using Terraform would be standout.We are looking for a connection with the Scientific/Applied/Mechanical ...

industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro. Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training ...

measurable business impact from data Strong programming skills (Python/R) SQL and experience working with large, complex datasets Solid understanding of: Statistical modelling Machine learning techniques Experimental design and testing Experience with cloud/data platforms or scalable pipelines Strong problem-solving and analytical thinking Ability ...

consultative approach with clients to win new work. Proven experience delivering AI solutions in complex environments. Strong technical knowledge of AI for example, Machine Learning, AWS AI, Azure AI, GenAI and Agents. Experience with digital assistant solutions enhanced by AI such as Microsoft Copilot. Demonstrable experience with Retrieval ...

secure our nation. Our engineers engage in the full software development life cycle within agile teams, focusing on areas like real-time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem solvers to develop next-generation capabilities and advance your skills while protecting our country. ...

architectures, vector databases, embeddings, and AI pipelines, Knowledge of AI governance, risk management, and compliance frameworks, Familiarity with AWS platform on implementing AI ML or Generative AI solutions, Exposure to LLMOps/MLOps practices , including model deployment, monitoring, and life cycle management, Banking Domain Knowledge . ...

event-driven architectures Strong consulting and stakeholder management experience, with the ability to bridge business and technical teams Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker Strong leadership, communication, delivery governance, and programme management capabilities If this sounds you, please apply ...

background • Ability to build trust and confidence with senior stakeholders • Experience delivering AI solutions into production • Strong Python engineering fundamentals • Azure AI Foundry, Azure ML, Databricks, SageMaker, Bedrock, or similar • MLOps, CI/CD, observability, and production AI delivery • Experience leading teams, workshops, and technical discussions You’ll be: • Leading ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

Software Engineer to work on highly impactful projects in the Cyber and Intelligence space. The team works on a range of solutions across AI, ML, DevSecOps and Geospatial Intelligence and embraces the latest technologies in order to deliver secure, mission critical systems for its customers. This is a great chance ...

internal visibility, alongside experienced Data Scientists and AI Engineers. Role Summary You’ll help design, build, and deploy AI-powered applications using both traditional ML and modern LLM tooling. Projects include AI sales assistants, underwriting automation, internal summarisation systems, and workflow efficiency tools. Key Responsibilities • Build and deploy production-grade ...

Factory. Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures. Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing). Mindset: Strong problem-solving abilities with an ownership mindset for end-to-end delivery. This ...

Article 15. Technical Requirements AWS Bedrock Expert: Hands-on experience with Bedrock Agents, Knowledge Bases, and model lifecycle management. AI/ML Depth: Strong grasp of FMs, RAG, tool-use, and the failure modes of agentic workflows. Security & Compliance: Deep knowledge of NIST AI RMF, OWASP ...

SaaS/PaaS, Prompt Engineering, Agentic Workflows, Platform Systems, Remote (UK) *PLEASE READ BEFORE APPLYING* Proven experience in designing, deploying, and scaling AI/ML systems is essential. You must also be willing to collaborate on-site as needed and engage closely with cross-functional teams to deliver high-impact ...

Analysts, and commercial stakeholders to ensure models are practical and impactful. Your Skills and Experience Strong commercial experience using Python for Data Science and Machine Learning. Confident working with SQL to access and manipulate data. Proven experience delivering end-to-end Data Science solutions, including deployment into production environments. ...

27001. Understanding of healthcare data protection, ideally NHS/UK standards. Strong incident response, analytical, and problem-solving skills. Knowledge of AI/ML risks and AI governance. Experience with phishing campaigns, penetration testing, and remediation. Excellent communication skills across technical and senior stakeholder groups. Organised, proactive, and committed ...

Operational Resilience , and the EU AI Act . AWS Bedrock Stack: Hands-on experience with Agents, Knowledge Bases, Guardrails, and model lifecycles. AI/ML Core: Mastery of FMs, RAG, tool-use, and non-deterministic agent logic. Security Frameworks: Proficiency in OWASP LLM Top 10 and NIST AI RMF . ...

pharma, biopharma, or large-scale manufacturing/supply chain./li li Strong technical fluency: data engineering & pipelines, cloud platforms, data science & AI/ML product delivery, MLOps/DataOps principles./li li Skilled at influencing product direction across cross functional, multi-region teams./li li A strategic ...

databases and caching technologies such as PostgreSQL and Redis Nice to Have Experience building cybersecurity or threat detection platforms Exposure to AI/ML security challenges and AI-driven security tooling Experience with Kafka, Pulsar, Splunk, or real-time streaming systems Golang expertise Experience contributing to open-source projects ...

JavaScript frameworks - REACT Backend: Python (or GoLang) Database: SQL-based systems Cloud: GCP ideally but open to other cloud providers Exposure to AI/ML and modern data tooling - BONUS What They're Looking For Experience building full stack applications - React, Python or GoLang Strong data and SQL fundamentals Exposure ...

Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid ...